Artificial Intelligence Applications and Innovations : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5-7, 2020, Proceedings, Part I / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis.

Format:

Book

Contributor:

Maglogiannis, Ilias, editor.

Iliadis, Lazaros, editor.

Pimenidis, Elias, editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

IFIP advances in information and communication technology 1868-4238 ; 583.

IFIP Advances in Information and Communication Technology, 1868-4238 ; 583

Language:

English

Subjects (All):

Artificial intelligence.

Computer networks.

Application software.

Database management.

Data mining.

Information storage and retrieval.

Artificial Intelligence.

Computer Communication Networks.

Computer Appl. in Social and Behavioral Sciences.

Database Management.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Local Subjects:

Artificial Intelligence.

Computer Communication Networks.

Computer Appl. in Social and Behavioral Sciences.

Database Management.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Physical Description:

1 online resource (XXVIII, 466 pages) : 146 illustrations, 100 illustrations in color.

Edition:

First edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic.

Contents:

Classification

An Adaptive Approach on Credit Card Fraud Detection using Transaction Aggregation and Word Embeddings

Boosted Ensemble Learning for Anomaly Detection in 5G RAN

Machine Learning for Cognitive Load Classification - a Case Study on Contact-free Approach

Real-time prediction of online shoppers' purchasing intention using random forest

Using Classification for Traffic Prediction in Smart Cities

Using Twitter to Predict Chart Position for Songs

Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems

Clustering - Unsupervised Learning - Analytics

A two-levels data anonymization approach

An innovative graph-based approach to advance feature selection from multiple textual documents

k-means Cluster Shape Implications

Manifold learning for innovation funding: identification of potential funding recipients

Network aggregation to enhance results derived from multiple analytics

PolicyCLOUD: Analytics as a Service facilitating efficient data-driven public policy management

Demand Forecasting of Short Life Cycle Products using Data Mining Techniques

Image Processing

Arbitrary Scale Super-Resolution for Brain MRI Images

Knowledge-based fusion for image tampering localization

Transfer Learning using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images

Learning Algorithms

A Novel Learning Automata-based Strategy to Generate Melodies from Chordal Inputs

Graph Neural Networks to Advance Anticancer Drug Design

Optimizing Self-Organizing Lists-on-Lists using Transitivity and Pursuit-Enhanced Object Partitioning

Task-Projected Hyperdimensional Computing for Multi-Task Learning

Neural Network Modeling

Cross-domain Authorship Attribution Using Pre-trained Language Models

Indoor Localization with Multi-Objective selection of Radiomap Models

STDP Plasticity in TRN within Hierarchical Spike Timing Model of Visual Information Processing

Tensor-based CUDA Optimization for ANN Inferencing using Parallel Acceleration on Embedded GPU

The Random Neural Network in Price Predictions

Object Tracking - Object Detection Systems

Joint Multi-Object Detection and Segmentation from an Untrimmed Video

Robust 3D Detection in Traffic Scenario with Tracking-based Coupling System

Ontologies - AI

Automated MeSH Indexing of Biomedical Literature using Contextualized Word Representations

Knowledge-based Management and Reasoning on Cultural and Natural Touristic Routes

Ontological Foundations of Modelling Security Policies for Logical Analytics

RDF reasoning on large ontologies: a study on cultural heritage and Wikidata

Sentiment Analysis - Recommender Systems

A deep learning approach to aspect-based sentiment prediction

On the reusability of sentiment analysis datasets in real-life applications

Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations

Sentiment Analysis on Movie Scripts and Reviews: Utilizing sentiment scores in rating prediction

The MuseLearn platform: personalized content for museum visitors assisted by vision-based recognition and 3D pose estimation of exhibits

Promoting Diversity in Content Based Recommendation using Feature Weighting and LSH.

Other Format:

Printed edition:

ISBN:

978-3-030-49161-1

9783030491611

Access Restriction:

Restricted for use by site license.